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Using AI for Abnormal Behavior Detection

Daron Yondem
November 14, 2019

Using AI for Abnormal Behavior Detection

This is a presentation I used during my talk at the IT Summit Turkey 2019.

Daron Yondem

November 14, 2019

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  1. Daron Yöndem

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  2. • Out of the Box Anomaly Detection for Cloud Apps
    • Anomaly Detection in the world of IoT
    • Anomaly Detector for Everyone

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  3. • Risky IP address
    • Login failures
    • Admin activity
    • Inactive accounts
    • Location
    • Impossible travel
    • Device and user agent
    • Activity rate

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  4. • Entity behavioral analytics (UEBA)
    • Machine learning (ML)

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  7. • Azure IoT Edge, Azure Stream Analytics offers built-in machine
    learning based anomaly detection
    • AnomalyDetection_SpikeAndDip and

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  8. An AI service that helps you
    foresee problems before
    they occur

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  14. Microsoft Cloud App Security Product Page
    Anomaly Detection with Azure Stream Analytics and ML
    Online Playground for Anomaly Detector
    Azure Anomaly Detector Video

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  15. http://daron.me | @daronyondem
    Download slides here;

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